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Scandinavian Journal of Forest Research Volume 32, 2017 - Issue 6
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Research Articles

Effects of field plot configurations on the uncertainties of ALS-assisted forest resource estimates

Erkki TomppoForest Planning and Forest Resources, Natural Resources Institute Finland (Luke), Helsinki, Finland;Natural Resources Institute Finland (Luke), Helsinki, FinlandCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-5715-8912View further author information
ORCID Icon,
Nea KuusinenForest Planning and Forest Resources, Natural Resources Institute Finland (Luke), Helsinki, FinlandView further author information
,
Kai MäkisaraForest Planning and Forest Resources, Natural Resources Institute Finland (Luke), Helsinki, FinlandORCID Iconhttp://orcid.org/0000-0003-4949-5406View further author information
ORCID Icon,
Matti KatilaForest Planning and Forest Resources, Natural Resources Institute Finland (Luke), Helsinki, FinlandORCID Iconhttp://orcid.org/0000-0001-6946-5736View further author information
ORCID Icon &
Ronald E. McRobertsNorthern Research Station, U.S. Forest Service, Saint Paul, MN, USAView further author information
Pages 488-500 | Received 04 Jun 2016, Accepted 04 Nov 2016, Published online: 22 Nov 2016

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Annika Kangas, Rasmus Astrup, Johannes Breidenbach, Jonas Fridman, Terje Gobakken, Kari T. Korhonen, Matti Maltamo, Mats Nilsson, Thomas Nord-Larsen, Erik Næsset & Håkan Olsson. (2018) Remote sensing and forest inventories in Nordic countries – roadmap for the future. Scandinavian Journal of Forest Research 33:4, pages 397-412.
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Henrik J. Persson, Kenneth Olofsson & Johan Holmgren. (2022) Two-phase forest inventory using very-high-resolution laser scanning. Remote Sensing of Environment 271, pages 112909.
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Maksym Matsala, Viktor Myroniuk, Andrii Bilous, Andrii Terentiev, Petro Diachuk & Roman Zadorozhniuk. (2020) An indirect approach to predict deadwood biomass in forests of Ukrainian Polissya using Landsat images and terrestrial data. Forestry Studies 73:1, pages 107-124.
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Ronald McRoberts, Erik Næsset, Christophe Sannier, Stephen Stehman & Erkki Tomppo. (2020) Remote Sensing Support for the Gain-Loss Approach for Greenhouse Gas Inventories. Remote Sensing 12:11, pages 1891.
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Ambros Berger, Thomas Gschwantner & Klemens Schadauer. (2020) The effects of truncating the angle count sampling method on the Austrian National Forest Inventory. Annals of Forest Science 77:1.
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Henrike Häbel, Mikko Kuronen, Helena M. Henttonen, Annika Kangas & Mari Myllymäki. (2019) The effect of spatial structure of forests on the precision and costs of plot-level forest resource estimation. Forest Ecosystems 6:1.
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V. V. Myroniuk, А. М. Bilous & P. P. Diachuk. (2019) Predicting forest stand parameters using the k-NN approach. Ukrainian Journal of Forest and Wood Science 10:2, pages 51-63.
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Mikko KuronenHelena M. HenttonenMari Myllymäki. (2019) Correcting for nondetection in estimating forest characteristics from single-scan terrestrial laser measurements. Canadian Journal of Forest Research 49:1, pages 96-103.
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Ram K Deo, Grant M Domke, Matthew B Russell, Christopher W Woodall & Hans-Erik Andersen. (2018) Evaluating the influence of spatial resolution of Landsat predictors on the accuracy of biomass models for large-area estimation across the eastern USA. Environmental Research Letters 13:5, pages 055004.
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Coeli M. Hoover, Mark J. Ducey, R. Andy Colter & Mariko Yamasaki. (2018) Evaluation of alternative approaches for landscape-scale biomass estimation in a mixed-species northern forest. Forest Ecology and Management 409, pages 552-563.
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G Scrinzi, A Floris, F Clementel, V Bernardini, F Chianucci, S Greco, T Michelini, A Penasa, N Puletti, M Rizzo, R Turco & P Corona. (2017) Models of stand volume and biomass estimation based on LiDAR data for the main forest types in Calabria (southern Italy). Forest@ - Rivista di Selvicoltura ed Ecologia Forestale 14:3, pages 175-187.
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Ville Luoma, Ninni Saarinen, Michael Wulder, Joanne White, Mikko Vastaranta, Markus Holopainen & Juha Hyyppä. (2017) Assessing Precision in Conventional Field Measurements of Individual Tree Attributes. Forests 8:2, pages 38.
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